About Course

The 3-year Diploma in Artificial Intelligence (AI) and Machine Learning (ML) at Raisoni is a high-velocity technical program designed to turn curious problem-solvers into future-ready engineers. This course offers a sophisticated pathway for students to master the pulse of the 4th Industrial Revolution — automating intelligence, decoding big data, and building systems that learn. The program empowers learners to develop smart applications and predictive models through a synergy of mathematical logic and cutting-edge coding.

The curriculum seamlessly integrates foundational computer science with specialized tracks in Neural Networks, Natural Language Processing (NLP), and Computer Vision. Students dive deep into advanced areas such as Python programming, deep learning frameworks, robotics, and cloud computing. Beyond the code, they learn to master algorithmic ethics, data visualization, and the deployment of AI models that drive today's smart economies — from autonomous vehicles to personalized healthcare.

A hallmark of the program is its commitment to Applied Intelligence. Through hands-on coding bootcamps, AI model-building marathons (Hackathons), and mandatory industry internships at tech giants and startups, students move beyond theory. This practical approach ensures that graduates possess the technical agility and debugging prowess required to manage complex datasets and deploy scalable AI solutions in real-time.

Graduates of the Diploma in AI & ML program at Raisoni are prepared to launch high-impact careers as AI Associates, Data Analysts, ML Technicians, and Automation Specialists. With a credential that balances hardware understanding and software innovation, they are highly sought after in sectors ranging from FinTech and Cybersecurity to E-commerce and Healthcare.

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Objectives of the Program

  • Build a comprehensive background in mathematics for AI, programming logic, and data structure principles.
  • Acquire adequate knowledge of modern industry tools, including TensorFlow, PyTorch, Scikit-learn, and Cloud AI platforms.
  • Provide students with opportunities to apply supervised and unsupervised learning, pattern recognition, and real-world data mining through live lab projects.
  • Foster critical thinking and crisis-management skills to navigate complex system failures and ethical dilemmas in AI deployment.

Master the language of the future at Raisoni. Transform your tech intuition into professional mastery with our Diploma in AI and ML and lead the global shift toward intelligent automation.

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Key Details

Duration: Three-Year (3) Diploma Course

Advanced AI & Robotics Labs

Project-Based Learning Pedagogy

Industry-Aligned Curriculum (Updated for Generative AI)

Incubation & Start-up Support for Tech Ventures

High-Performance Computing (HPC) Facilities

MoUs with Global Tech Leaders & Research Hubs

FUTURE OF AI & ML PROFESSIONALS

₹5,50,000/Year*

In India, AI/ML professionals with specialized diploma certifications and strong project portfolios see rapid salary escalations, often surpassing traditional engineering roles within 3 years.

31.4% Market Growth

The global AI market is projected to grow at a CAGR of 31.4% through 2030, driven by the integration of AI in every sector from agriculture to space exploration.

97 Million New Jobs

According to the World Economic Forum, AI will create 97 million new roles globally, specifically for those who can bridge the gap between human intent and machine execution.

Eligibility

Educational Qualification: Completed Class 10 (SSC or equivalent) from a recognized board. Candidates awaiting their final results are also eligible to apply on a provisional basis.

Required Subjects: A strong foundation in Mathematics and Science is highly recommended. Proficiency in logical reasoning is an added advantage.

Minimum Marks Required: General Category: 35% aggregate in Class 10 (as per state technical board norms) | Reserved Category: 40% aggregate in Class 10.

Admission Procedure

Getting into the Diploma in Artificial Intelligence & Machine Learning is a structured yet seamless process. Here's how it works:

Step 1: Admission Notification
  • The University/Institute announces the admission cycle on its official website, notice boards, and through Directorate of Technical Education (DTE) portals. Stay updated with the Centralized Admission Process (CAP) dates to ensure you don't miss key deadlines.
Step 2: Application Submission
  • Fill out the online/offline application form with accurate personal and academic details.
  • Scan and attach all required preliminary documents.
Step 3: Shortlisting & Selection
  • After the application deadline, a merit list is published based on Class 10 (SSC) scores or entrance criteria. Candidates are notified via the University website or direct communication regarding their allotment.
Step 4: Provisional Admission (If Awaiting Results)
  • You can apply even if your Class 10 results are pending.
  • If shortlisted, you will receive provisional admission, subject to:
  • Submitting your ninth-grade/pre-board marksheet as proof of academic intent.
  • Providing your final Class 10 marksheet within the stipulated timeframe post-result declaration.
  • Failure to meet the minimum eligibility marks in the final result will result in the immediate cancellation of provisional admission.
Step 5: Application Rejection Scenarios

Your application may be rejected if

  • You fail to meet the minimum percentage criteria set by the board.
  • The prescribed application or processing fee is not paid.
  • The form is incomplete or contains discrepancies in data.
  • Mandatory documents are missing or found to be invalid.
Step 6: Enrollment Confirmation

Once all documents are verified and fees are submitted, you will be assigned a University enrollment number, officially marking the start of your journey in the world of AI.

Step 7: MANDATORY DOCUMENTS REQUIRED

Original documents and four sets of attested photocopies are required at the time of admission:

  • CAP Allotment Letter (for candidates allotted through CAP Rounds)
  • SSC (Std. 10th) Marksheet & Passing Certificate / Board Certificate
  • School Leaving Certificate (LC/TC)
  • Nationality Certificate & Domicile Certificate
  • Aadhaar Card (Photocopy) & Passport Size Photographs (Recent)
  • Caste Certificate & Caste Validity (if applicable)
  • Non-Creamy Layer Certificate – valid for current year (if applicable)
  • Migration Certificate – for students from boards other than Maharashtra State Board (if applicable)
  • Gap Certificate (if there is a break in education)
  • Income Certificate (for scholarship/TFWS seekers)
  • Certificates in Proforma (A, B, C, D, etc., as per DTE requirements)

Core Skills

  • Python & R Programming
  • Statistical Modeling
  • Neural Network Architecture
  • Big Data Analytics

Career Opportunities

Entry Level
  • Data Annotator
  • Junior ML Developer
Mid Level
  • AI System Administrator
  • Data Analyst
Senior Level
  • ML Engineer
  • AI Consultant
Specialized
  • NLP Specialist
  • Computer Vision Technician

Future Studies

There are several higher education programs and certifications you can pursue after completing the Diploma in AI & ML, which are as follows:

B.Tech in AI & Data Science (Lateral Entry to 2nd Year)
B.E. in Computer Science & Engineering
Specialized Certifications in Google Cloud AI / AWS Machine Learning
Advanced Diploma in Cybersecurity & IoT
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FAQ

Do I need to be a math genius to study AI & ML?

You don't need to be a "genius," but you should enjoy logic and problem-solving. Our program starts with the basics to ensure your mathematical foundation is strong enough for algorithmic thinking.

While a CS diploma is broad, this program is specialized. From the second year, your focus shifts entirely to data intelligence, neural networks, and automation, giving you a 2-year head start in the AI niche.

Tech industries are shifting toward skill-based hiring. A Diploma holder with a strong GitHub portfolio, internship experience, and proven coding skills is often more valuable than a general degree holder without practical exposure.

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Applications of admission are now
open for academic year 2026-2027

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